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GLM 5.2 Is Out

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Re: GLM 5.2 Is Out

#281

Announcement from the founder of Z.ai: “ GLM-5.2 is Fully Open, Frontier Intelligence Belongs to Everyone Today, the sudden restriction of certain frontier models is deeply regrettable. At a time when access to frontier models is abruptly cut off for non-technical reasons, we are even more convinced of one thing: science should be global. The path to AGI (Artificial General Intelligence) must never be enclosed by hig…

Looks like it's about a year behind. Not that I am complaining. A year behind is good progress.

I also feel much of the trick is in the reasoning and harness.

so some progress around that would accelerate this process.

Re: GLM 5.2 Is Out

#282
post #190

Earlier quoted context omitted.

> Open weight models are basically immune to that Somewhat. The US Gov can make it illegal to transact with, download, use, etc. foreign open weight models. Of course, enforcement will be difficult for individuals (businesses will comply by default, and they would all be pulled off Github and other US based hosting locations if they went the sanctions route). But, we are also quickly going down the road of frightenin…

Just like we can’t allow Chinese EVs in the USA, because we can’t and don’t want to compete. VPN usage would go up, to get the banned models.

I would so download a car.

Re: GLM 5.2 Is Out

#283

Earlier quoted context omitted.

Have any major open weight models been "open data"? Wouldn't that entail distributing vast amounts of copyrighted data?

Olmo from AllenAI has been releasing their full pipelines including data [1]. A lot of it is just repackaged and resampled dumps from copyrighted data that has long been publicly available as dumps: Common Crawl, arxiv, Wikipedia, StackExchange, reddit --- all of which are presumably copyrighted with different licenses. Go in Huggingface and you can find massive multi TB data dumps used for pre training. It is just a…

It's rather off-topic at this point, but I've never understood how HF can afford to be a CDN for such huge files. It seems like enterprise customers must be subsidizing a lot, but...at that point, is there not a cheaper alternative that doesn't subsidize every hobbyist and startup around?

Re: GLM 5.2 Is Out

#284
post #64

Earlier quoted context omitted.

z.ai posted an announcement earlier that day (in GMT+8) saying that they will make GLM-5.2 available later today at 5:21pm so it can't be a coincidence. Good troll.

Could it just be that they wanted to release 5.2 at 5:20 ish???? Why does it have to be a troll?? Edit: spelling

It’s just Occam’s razor since it specifically references “ Today, the sudden restriction of certain frontier models is deeply regrettable.” in the tweet.

Re: GLM 5.2 Is Out

#285
post #118

Earlier quoted context omitted.

The GLM-5 series is 744B-A40B. This is not a local model for any reasonable definition of local, but it's an open model which means (once they upload the weights in a week or so) there will be a dozen third-party inference providers competing on price per token.

> This is not a local model for any reasonable definition of local That's true for now. I am hopeful that once the hardware markets have recovered from OpenAI's sabotage, we will see more hardware dedicated to local inference that can handle these big models. Also, I'm thinking about the unique MoE routing that Apple is using with their new Apple Foundation Model. The model is trained and architected so that experts…

Reading weights out of memory is the definition of a large linear read. I'm a bit mystified someone hasn't put an embarrassingly parallel flash storage controller next to some tensor processors on a PCIe card. It could have 4Tb of flash hanging off enough channels to saturate SRAM skipping DRAM entirely, and could even offload prompt processing to a GPU in the same workstation so long as it got reasonable tokens/s in inference. I'd buy one tomorrow.

Re: GLM 5.2 Is Out

#286

Earlier quoted context omitted.

I don't consider mainland aspects to be "examples of their ideological system working for the world", it works for urban areas in China and I don't really see their foreign investment to be doing that, I think it complements what the West has done and has high impact in areas that the West ignores or hasn't taken seriously for investment, only a history of pillaging and subsequently aid their ideological system - usu…

If you can't appreciate or understand what a substantial effort it was to reduce poverty in China, then you aren't a serious person worth paying attention to. It's literally the economic question of the century and something we should seriously study because we have the potential to lift the entire world out of poverty too.

Please. Be serious.

Re: GLM 5.2 Is Out

#287
post #210

Earlier quoted context omitted.

Tbh if we had a Harris admin I expect we'd have some sort of locking down by now.

Probably. But it would be at least somewhat thought-out and apply to all the AI providers. Not just the one currently disfavored by Captain Dipshit and the Sycophants. I really don't know why business cozies up to Trump so much, given how unbelievably unreliable and mercurial he is about...everything.

Because he’s running a racket. If you don’t cozy up to Trump you will suffer and it’s as simple as that. This administration is a mafia.

Re: GLM 5.2 Is Out

#289

" GLM-5.2 is Fully Open " I am curious that: is it open-weight or open-source?

Open weights, like any other really big LLM.

NVIDIA Nemotron 3 Ultra is a relatively big LLM for which a part of the training data is public, but not all of it.

Nobody who has trained a really good and big LLM can afford to make public all the training data, as much of it must have been copyrighted.

The weights for GLM 5.2 will be published in a few days on Hugginface.co.

While I would want very much to have access to the entire training set of a big LLM, I would want that in order to be able to run traditional search tools on it, to get accurate answers, instead of possibly hallucinated answers.

I could not use that dataset to perform the training myself, as that requires too expensive hardware.

On the other hand, with the open weights of even a very big LLM like GLM 5.2, I can run inference on any computer, with the weights stored on SSDs. Obviously, inference will run slowly, probably at less than 1 token per second at the size of GLM 5.2, but that is still useful in some cases.

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